Triple

T14264197
Position Surface form Disambiguated ID Type / Status
Subject National Renewal E353600 entity
Predicate headquartersLocation P62 FINISHED
Object Santiago, Chile E2032 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Santiago, Chile | Statement: [National Renewal, headquartersLocation, Santiago, Chile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago, Chile
Context triple: [National Renewal, headquartersLocation, Santiago, Chile]
  • A. Concepción, Chile
    Concepción, Chile is a major industrial and university city in south-central Chile, known as a key economic, cultural, and transportation hub of the Biobío Region.
  • B. Santiago chosen
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • C. Santiago
    Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
  • D. Santiago
    Santiago is the largest and most populous island of Cape Verde, home to the nation’s capital city, Praia, and its main political and economic activities.
  • E. Santiago
    Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1081148190b8830615a34711c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:09 a.m.